Validation of Land Cover Products Using Reliability Evaluation Methods

Remote Sensing

Wenzhong Shi⁴  Xiaokang Zhang³  Ming Hao¹  Pan Shao³  Liping Cai¹  Xuzhe Lyu³  Ioannis Gitas² 

[1] School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; E-Mails:;Joint Research Laboratory on Spatial Information, The Hong Kong Polytechnic University and Wuhan University, Hong Kong and Wuhan 430079, China; E-Mail;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; E-Mails:;Joint Research Laboratory on Spatial Information, The Hong Kong Polytechnic University and Wuhan University, Hong Kong and Wuhan 430079, China; E-Mail:

关键词: land cover;    validation;    reliability evaluation;    fuzzy fault tree;   

DOI  :  10.3390/rs70607846

来源: mdpi

【 摘 要 】

Validation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be undertaken to provide reliable land cover information. In addition, the lack of high-quality reference data often constrains validation and affects the reliability results of land cover products. This study proposes a validation schema to evaluate the reliability of land cover products, including two methods, namely, result reliability evaluation and process reliability evaluation. Result reliability evaluation computes the reliability of land cover products using seven reliability indicators. Process reliability evaluation analyzes the reliability propagation in the data production process to obtain the reliability of land cover products. Fuzzy fault tree analysis is introduced and improved in the reliability analysis of a data production process. Research results show that the proposed reliability evaluation scheme is reasonable and can be applied to validate land cover products. Through the analysis of the seven indicators of result reliability evaluation, more information on land cover can be obtained for strategic decision-making and planning, compared with traditional accuracy assessment methods. Process reliability evaluation without the need for reference data can facilitate the validation and reflect the change trends of reliabilities to some extent.

【 授权许可】

CC BY   
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